better spliting with multiple configurations

README.md

@@ -7,6 +7,23 @@ language:
 pretty_name: aclsum
 size_categories:
 - n<1K
+configs:
+- config_name: abstractive
+  data_files:
+  - split: train
+    path: "abstractive/train.jsonl"
+  - split: validation
+    path: "abstractive/val.jsonl"
+  - split: test
+    path: "abstractive/test.jsonl"
+- config_name: extractive
+  data_files:
+  - split: train
+    path: "extractive/train.jsonl"
+  - split: validation
+    path: "extractive/val.jsonl"
+  - split: test
+    path: "extractive/test.jsonl"
 ---
 
 # ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications
@@ -24,5 +41,5 @@ Just do,
 
 ```py
 from datasets import load_dataset
-dataset = load_dataset("sobamchan/aclsum")
-```
+dataset = load_dataset("sobamchan/aclsum", "challenge", split="train")
+```